Triple
T9251931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khazar Khaganate |
E222345
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Atil
Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
|
E788179
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Atil | Statement: [Khazar Khaganate, capital, Atil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atil Context triple: [Khazar Khaganate, capital, Atil]
-
A.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
B.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
C.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
D.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
-
E.
Tuquʼ
Tuquʼ is a Palestinian town located southeast of Bethlehem in the central West Bank.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Atil Triple: [Khazar Khaganate, capital, Atil]
Generated description
Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atil Target entity description: Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
-
A.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
B.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
C.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
D.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
-
E.
Tuquʼ
Tuquʼ is a Palestinian town located southeast of Bethlehem in the central West Bank.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05fb1454819098f452846ca4ca61 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bd3fb4c8190a7fa9a60c7f286a0 |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2069048190ac22b738fa324771 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:31 p.m.